Inverse Folding (Design)
RNA sequence design.
Functions

float inverse_fold(char *start, const char *target)
 #include <ViennaRNA/inverse.h>
Find sequences with predefined structure.
This function searches for a sequence with minimum free energy structure provided in the parameter ‘target’, starting with sequence ‘start’. It returns 0 if the search was successful, otherwise a structure distance in terms of the energy difference between the search result and the actual target ‘target’ is returned. The found sequence is returned in ‘start’. If give_up is set to 1, the function will return as soon as it is clear that the search will be unsuccessful, this speeds up the algorithm if you are only interested in exact solutions.
 Parameters:
start – The start sequence
target – The target secondary structure in dotbracket notation
 Returns:
The distance to the target in case a search was unsuccessful, 0 otherwise

float inverse_pf_fold(char *start, const char *target)
 #include <ViennaRNA/inverse.h>
Find sequence that maximizes probability of a predefined structure.
This function searches for a sequence with maximum probability to fold into the provided structure ‘target’ using the partition function algorithm. It returns \(kT \cdot \log(p)\) where \(p\) is the frequency of ‘target’ in the ensemble of possible structures. This is usually much slower than inverse_fold().
 Parameters:
start – The start sequence
target – The target secondary structure in dotbracket notation
 Returns:
The distance to the target in case a search was unsuccessful, 0 otherwise
Variables

char *symbolset
This global variable points to the allowed bases, initially “AUGC”. It can be used to design sequences from reduced alphabets.

float final_cost
when to stop inverse_pf_fold()

int give_up
default 0: try to minimize structure distance even if no exact solution can be found

int inv_verbose
print out substructure on which inverse_fold() fails

float inverse_fold(char *start, const char *target)